The Soilwise project aims to develop an open access knowledge and data repository to safeguard soils. This repo is a placeholder to steer the functional requirements of the system.
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UC4/US2 Find data from Long Term Soil Experiment (LTE) #12
As a researcher working on Soil health MRVs (Monitoring, Reporting, and Verification),
I want to easily locate and access Long-Term Field Experiments (LTE) data from soil-based data repositories,
In order to support biogeochemical and crop modeling activities for different LTE operations.
Extended user story
I am a researcher at the Leibniz Centre for Agricultural Landscape Research (ZALF), an organization dedicated to advancing sustainable agriculture and land management practices. My primary audience consists of farmers, agricultural researchers, and government agencies keen on promoting sustainable land use practices and exploring long-term field experiments (LTEs).
As a researcher working on MRVs (Monitoring, Reporting, and Verification), I want to easily locate and access Long-Term Field Experiments (LTE) data from open-access soil-based data repositories in order to support my biogeochemical and crop modeling activities.
With a clear focus on data-driven research and sustainable practices, I aim to use this accessible and relevant LTE data to contribute to our mission of sustainable agricultural management at ZALF.
Acceptance criteria
[ ] Crop-Specific Filters: I want to filter LTE data by crop type, growing season, and soil conditions, enabling them to find experiments closely aligned with the specific crops they are monitoring and modeling. Business Reason: Customized crop filters ensure that agricultural researchers can focus on data relevant to the crops they are working with, improving the accuracy of MRVs.
[ ] Geospatial Search: Implement a map-based search feature allowing researchers to pinpoint LTEs on a geographical map. I want to click on map markers to access data from experiments in their region of interest. Business Reason: Geospatial search enhances the experience for researchers by providing a visual representation of LTE experiments, making it easier to find localized data for MRV in agriculture.
[ ] Detailed LTE Descriptions: I need in-depth descriptions of LTEs through their metadata, including e.g., land use, soil types, farming techniques, and pest control strategies used in each study. Business Reason: Detailed experiment descriptions provide researchers with insights into experimental methodologies, enabling them to assess the applicability of the data to their biogeochemical and crop modeling activities.
[ ] Data Previews: I would like to view metadata and summary information for each LTE dataset, including experimental setup, land use, and key findings, facilitating informed decisions on data selection. Business Reason: Data previews empower researchers to evaluate the suitability of LTE datasets for their MRV activities, reducing the time spent on irrelevant data and enhancing data quality.
[ ] Data Export for Modeling Tools: If feasible, I require the ability to export the existing data into standard data formats (e.g., CSV, XLS) for seamless integration into modeling processes. Business Reason: Data export tools streamline the MRV workflow, enhancing efficiency, and mitigating the potential for errors during data transfer and acquisition.
As a researcher working on Soil health MRVs (Monitoring, Reporting, and Verification),
I want to easily locate and access Long-Term Field Experiments (LTE) data from soil-based data repositories,
In order to support biogeochemical and crop modeling activities for different LTE operations.
Extended user story
I am a researcher at the Leibniz Centre for Agricultural Landscape Research (ZALF), an organization dedicated to advancing sustainable agriculture and land management practices. My primary audience consists of farmers, agricultural researchers, and government agencies keen on promoting sustainable land use practices and exploring long-term field experiments (LTEs). As a researcher working on MRVs (Monitoring, Reporting, and Verification), I want to easily locate and access Long-Term Field Experiments (LTE) data from open-access soil-based data repositories in order to support my biogeochemical and crop modeling activities. With a clear focus on data-driven research and sustainable practices, I aim to use this accessible and relevant LTE data to contribute to our mission of sustainable agricultural management at ZALF.
Acceptance criteria